International Baccalaureate Diploma Programme

UCAS Tariff

About this course

This course has alternative study modes. Contact the university to find out how the information below might vary.

Course option

3.0years

Full-time | 2020

Other options

4.0 years | Sandwich | 2020

Subjects

Mathematics

Numerical analysis

A diverse range of sectors, such as the IT industry, health, sports, finance, marketing and sales, require graduates with the ability to think clearly and logically, analyse complicated data sets, solve problems, make recommendations and communicate technical information in a language everyone can understand.

A good grounding in mathematical thinking, statistics and computing is essential for creating and using algorithms and systems that identify patterns and extract value from masses of data.

Coventry University has a long tradition of teaching mathematics, statistics and computing with a strong emphasis on its applications in practical situations. This new course blends all of these subject areas with a view to tackling a huge variety of interesting and engaging problems from business and industry – from fraud detection and credit risk to efficiency improvements and optimisation of delivery methods.

You’ll have access to our modern computing facilities, which enable you to gain experience using mathematical software packages, like MAPLE and MATLAB®. You can also receive one-to-one assistance from Sigma, the University’s internationally-renowned Centre for Excellence in Mathematics and Statistics Support, which previously won the prestigious national Times Higher Education award for Outstanding Support for Students in 2011.

There are opportunities to apply for summer research internships (subject to availability and application). Past students have, for example, undertaken internships analysing social networks of past cultures through ancient and mythological narratives or studied lattice models of polymers.

* Taught by staff conducting cutting-edge research; 86% of our research outputs were deemed world-leading or internationally excellent in the Research Excellence Framework (REF 2014).

* Our sister Mathematics and Statistics degree, which shares some of the modules on this new course, has outstanding levels of student satisfaction – 100% overall and 98% for the quality of teaching in the National Student Survey (NSS) 2016.

* Student exchanges and visiting scholars thanks to close links with the University of Grenoble.

Modules

Our main study themes are:

* **Data analysis and retrieval**: Provides an insight into how data and information retrieval systems are designed, including database concepts, theory and design with practical use of database and information retrieval tools and techniques.

* **Statistics**: You will learn techniques for the collection, analysis, interpretation, presentation, and organisation of different types of complex data. We will cover probability, hypothesis tests, analysis of variance, regression models, design of experiments, a range of advanced topics in statistics and statistical computing.

* **Computing**: We aim to give you an understanding of the fundamental concepts of programming by learning and applying syntax, problem solving strategies and theory common to most programming languages. At the same time, we will look at professional practices associated with the industry and key software development concepts, such as testing code, version control, functional decomposition and interacting with non-technical colleagues and clients.

* **Algebra and calculus**: You will cover the core mathematical methods with an introduction to abstract algebra, including some number theory. We will examine the theory of real functions and the mathematics underpinning it.

For more information about what you will study, please visit our website

What students say

We've crunched the numbers to see if overall student satisfaction here is high, medium or low compared to students studying this subject(s) at other universities.

75%

low

Mathematics

75%

low

Numerical analysis

How do students rate their degree experience?

The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.

Student voice

Who studies this subject and how do they get on?

Most popular A-Levels studied (and grade achieved)

Mathematics

C

Physics A

C

Chemistry

D

After graduation

Source: DHLE and HECSU

The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.

Mathematics

What are graduates doing after six months?

This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.

£19,000

low

Average annual salary

100%

high

Employed or in further education

99%

high

Employed in a role where degree was essential or beneficial

Top job areas of graduates

60%

Business, finance and related associate professionals

10%

Teaching and educational professionals

8%

Sales, marketing and related associate professionals

Want to feel needed? This is one of the most flexible degrees of all and with so much of modern work being based on data, there are options everywhere for maths graduates. With all that training in handling figures, it's hardly surprising that a lot of maths graduates go into well-paid jobs in the IT or finance industries, and last year, a maths graduate in London could expect a very respectable average starting salary of £27k. And we're always short of teachers in maths, so that is an excellent option for anyone wanting to help the next generation. And if you want a research job, you'll want a doctorate — and a really good maths doctorate will get you all sorts of interest from academia and finance — and might secure some of the highest salaries going for new leavers from university.

What about your long term prospects?

Source: LEO

Looking further ahead, below is a rough guide for what graduates went on to earn.

Mathematics

The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.

£19k

£19k

First year

£25k

£25k

Third year

£28k

£28k

Fifth year

Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.

Teaching Excellence Framework (TEF):

We've received this information from the Department for Education, via Ucas. This is how the university as a whole has been rated for its quality of teaching: gold silver or bronze. Note, not all universities have taken part in the TEF.

This information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).

We calculate a mean rating of all responses to indicate whether this is high, medium or low compared to the same subject area at other universities.

This information is from the Higher Education Statistics Agency (HESA).

You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.

Post-six month graduation stats:

This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.

It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.

While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?